Flexible API for easy, efficient LLM fine-tuning and training.
Visit Thinking Machines TinkerThinking Machines Tinker is a flexible training API designed for researchers and developers who need to fine-tune open-source language models efficiently and with maximum control. It streamlines the machine learning workflow by abstracting away infrastructure management, supporting LoRA-based fine-tuning, and offering simple functions to orchestrate model training, updating, and persistence. Tinker is ideal for those who want to focus on data, algorithms, and experimentation, while the platform manages compute resources and distributed training operations.
Visit Thinking Machines Tinker's official website for product details and getting started.